RStudio
by RStudio | 2009, Boston, MA
Categories:
What is RStudio?
Industry Specialties: Serves all industries
RStudio is an integrated development environment suite for the R programming language, synthesizing coding tools into one software tool for easier advanced data processing. Using in-memory processing, it is capable of parsing big data through integrations and connections.
It is available in both open-source and commercial formats, with extra features available in the paid edition includes more sophisticated collaboration and security efforts. The free version is capable of end-to-end analytics, from API connectivity and data ingestion to visualization creation and distribution. It can be deployed standalone or on a web browser through connection to RStudio Server.
PRICE
$
$
$
$
$
COMPANY SIZE
DEPLOYMENT
PLATFORM
Try Before You Buy.
Request a Free Demo Today!
Request Demo
It's completely free!
Product Screenshots and Videos
RStudio Pricing
Based on our most recent analysis, RStudio pricing and cost details are described here:
- Price
- $$$$$
- Starting From
- Still gathering data
- Pricing Model
- Still gathering data
- Free Trial
- Still gathering data
RStudio Benefits and Insights
Why use RStudio?
Key differentiators & advantages of RStudio
- Open-Source or Commercial: Create visualizations and reports from data analysis scripts with the open-source version. Access more advanced features, including deeper security and support with the paid version.
- Streamlined R Programming: Execute code directly from the source editor by integrating the tools being used into one interface. Supports Git and Subversion for more advanced code writing needs.
- Advanced Data Analysis: Investigate trends on a big data scale via integrations for distributed processing, data modeling and predictive analysis. Develop deep analytical insights through R, the premier statistics coding language.
- Proprietary R Packages: Get sophisticated ready-to-install R packages comparable with machine learning frameworks to ingest, store, analyze and consume data.
- Data Visualization: Easily digest analyzed data through out-of-the-box and integrated visualizations and data consumption deployment vessels using Shiny and ggvis. Create interactive dashboards and charts with drill-down capabilities.
Industry Expertise
RStudio Inc. was founded in 2009 with the intent of creating a sustainable, open-source R analytics platform. The community development website has more than 22,000 registered users that span all industries, including medical, retail and insurance.
RStudio Reviews
Average customer reviews & user sentiment summary for RStudio:
700 reviews
Synopsis of User Ratings and Reviews
Based on an aggregate of RStudio reviews taken from the sources above, the following pros & cons have been curated by a SelectHub Market Analyst.
Pros
Cons
Researcher's Summary:
RStudio is a powerful web- and cloud-based BI platform with excellent statistical analysis and data science capabilities. Integrating with cloud computing technologies, the platform has good machine learning capabilities to power data analysis by providing a wide range of features for data recovery, presentation and interpretation. It provides rich built-in visualization libraries with pre-set charts and functions that drastically reduce the need to code. Many users who reviewed its UI said that the interface was user-friendly and easy to navigate, though some users said that it looked dated and could do with an upgrade. Quite a few users who reviewed the platform for data analysis said that it was easy to run statistical and regression tests with minimal coding, and coupled with an open-source server, this platform served their data needs well.
On the flip side, many users who reviewed the tool for performance said that it consumes a lot of memory and lags behind its competitors in speed. Quite a lot of users mentioned that the platform could be buggy at times and was prone to crashes, possibly because some libraries were not optimized for performance with large datasets. Many users found it confusing to access the open-source version, especially since separate versions of the platform work differently with some library packages. Some users complained that the code run, once started, could not be stopped and the stop button on the interface didn’t work. A majority of users who reviewed the learning curve as a feature said that the help section was difficult to understand and previous knowledge of R was required to leverage the tool to its fullest.
In summary, RStudio is a versatile and extensible BI tool powered by machine learning and is capable of insightful statistical data analysis and forecasting capabilities.
Key Features
- Source Editor: Develop programs in a single console window by synthesizing and integrating all tools in use. Highlight syntax, define functions and complete code in the console.
- Web Applications: Publish applications, dashboards and documents to the web with the internally-developed Shiny Server R package.
- Flexdashboard: Develop interactive dashboards with JavaScript visualizations, with support for HTML widgets, with this R package.
- Launcher: Launch R and Python processes remotely or submit R scripts to compute clusters like SLURM or Kubernetes.
- REST API Creation: Develop web API connections with the plumber R package — with as little as a single line of code.
- Spark Integration: Integrate seamlessly with Apache Spark to achieve big data analytics through distributed processing and leverage its machine learning capabilities to run more advanced queries.
- RStudio Connect: Publish statistical data analyses in the form of visually impactful visualizations, synthesizing all the aforementioned publishing features into one interface.
- Data Modeling and Prediction: Powers predictive and prescriptive analytics via connectivity to TensorFlow. Improves the product’s own data modeling capabilities via Tidymodels R package.
Limitations
Some of the product limitations include:
- It does not integrate with languages such as VB or Julia
- Packages have to be installed and referenced. It does not feature inbuilt packages
- It lacks a block code execution default function
- Slows down when processing large data
- Requires previous knowledge of R
Suite Support
Before emailing support, check out the resources available on the vendor’s website, including digital courses, tutorials, webinars, videos, documentation and articles, all free to access.
mail_outlineEmail: Email support@rstudio.com.
phonePhone: No phone support is available.
schoolTraining: As mentioned above, the vendor’s website offers multiple self-paced training resources, how-to documentation and in-person workshops. Because a large portion of the RStudio customer base utilizes its open-source products, a robust community of support exists with a designated forum-style website where users can post queries and answer questions.
local_offerTickets: Submit a support ticket by filling out a form on the vendor’s website. This service is available for paid plans only; response times are from 9 a.m — 5 p.m. Eastern Standard time, Monday through Friday.
Compare Business Intelligence Tools
Compare Business Intelligence Tools
Head-to-Head
Comparison
vs
- BusinessObjects
- Chartio
- ClicData
- Datorama
- Domo
- Dundas BI
- Einstein Analytics
- Entrinsik Informer
- Halo BI
- Infor Birst
- InfoZoom
- InsightSquared
- Jaspersoft
- JReport
- Klipfolio
- KNIME
- Looker
- Mathematica
- MicroStrategy
- Oracle Analytics Cloud
- Orbit Analytics
- Panintelligence
- Power BI
- Pyramid Analytics
- Qlik Sense
- RapidMiner
- Reveal BI
- SAS Visual Analytics
- Sisense
- Sisense For Cloud Data Teams
- Slemma
- SPSS Statistics
- Style Intelligence
- Tableau
- ThoughtSpot
- Toucan
- Yellowfin BI
- Zoho Analytics
Pricing for Business Intelligence Tools
Similar Products
Here are the most similar products to RStudio.
